DBMS > GridGain vs. Interbase vs. Oracle Rdb vs. SpatiaLite

System Properties Comparison GridGain vs. Interbase vs. Oracle Rdb vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

GridGain is an in-memory computing platform, built on Apache Ignite

Light-weight proven RDBMS

originally from Borland

Spatial extension of SQLite

Primary database model

Columnar
Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.42
Rank	#150	Overall
	#1	Columnar
	#26	Key-value stores
	#2	Object oriented DBMS
	#69	Relational DBMS

Score	3.62
Rank	#77	Overall
	#41	Relational DBMS

Score	1.02
Rank	#180	Overall
	#82	Relational DBMS

Score	1.50
Rank	#144	Overall
	#3	Spatial DBMS

Website

www.gridgain.com

www.embarcadero.com/products/interbase

www.oracle.com/database/technologies/related/rdb.html

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

www.gridgain.com/docs/index.html

docs.embarcadero.com/products/interbase

www.oracle.com/database/technologies/related/rdb-doc.html

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

GridGain Systems, Inc.

Embarcadero

Oracle, originally developed by Digital Equipment Corporation (DEC)

Alessandro Furieri

Initial release

2007

1984

2008

Current release

GridGain 8.5.1

InterBase 2020, December 2019

7.4.1.1, 2021

5.0.0, August 2020

License

Commercial or Open Source

commercial, open source

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, C++, .Net, Python, REST, SQL

C++

Server operating systems

Linux
OS X
Solaris
Windows
z/OS

Android
iOS
Linux
OS X
Windows

HP Open VMS

server-less

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

export as XML data possible

Secondary indexes

yes

SQL

Support of SQL

ANSI-99 for query and DML statements, subset of DDL

yes

APIs and other access methods

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

ADO.NET
JDBC
ODBC

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

Server-side scripts

Stored procedures

yes (compute grid and cache interceptors can be used instead)

yes

Interbase procedure and trigger language

Triggers

yes (cache interceptors and events)

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

Interbase Change Views

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Role-based access control
Security Hooks for custom implementations

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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